Discrete-continuous structural optimization with distributed evolution strategies
| Autor: | H Grill, Dietrich Hartmann |
|---|---|
| Rok vydání: | 2000 |
| Předmět: |
education.field_of_study
Mathematical optimization Control and Optimization Meta-optimization Optimization problem Applied Mathematics Probabilistic-based design optimization Population Management Science and Operations Research Scalability Multi-swarm optimization Evolution strategy education Selection (genetic algorithm) Mathematics |
| Zdroj: | Optimization. 47:335-347 |
| ISSN: | 1029-4945 0233-1934 |
| DOI: | 10.1080/02331930008844485 |
| Popis: | This paper describes the development and application of distributed Evolution Strategies (ES) in the field of mixed-discrete structural optimization. ES are direct, probabilistic optimization methods based on the use of the three evolution operators recombination, mutation and selection in an evolving population of competing individuals in the design space. Advanced features of the employed ES include self-adaption of strategy parameters to achieve on-line tuning of the optimization process and a flexible selection scheme that allows scalable lifetimes of individuals The property of using a population of coexisting but independent individuals allows the efficient realization in distributed computing environments. This approach results in a drastic reduction of response time and an improved applicability for large scale problems |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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